Forward Deployed Engineer

Forward Deployed Engineer 100% Remote 6 Month Contract to Hire U.S Citizenship Required Why This RoleYou'll work on projects that shape real production AI systems, creating the training and evaluation data behind the next generation of large language models and AI agents. You'll own technical data workflows end-to-end and help shape how the delivery team works as it grows.About the RoleWe're looking for a senior engineer to turn loosely defined customer needs into production-grade data, evaluation, and ML-assisted workflows for advanced AI systems. You'll own the full lifecycle of AI data pipelines: building and deploying the ML-based tooling that makes human-in-the-loop data generation and review faster, more reliable, and higher quality.The role sits where data science, data engineering, AI engineering, and delivery operations meet. You'll work closely with delivery and operations teams and with customer technical stakeholders. You'll write technical specifications, design evaluation workflows, set quality standards, and build the applications that keep projects moving.This role suits someone comfortable across the whole delivery lifecycle, likes solving messy multi-part problems hands-on, communicates clearly to technical and non-technical audiences, and works well on a team.What You'll DoProject Execution and DeliveryBuild and deploy evaluators, and design quality measurement systems that validate outputs and confirm deliverables meet customer expectationsGenerate synthetic datasets by developing new pipelines or adapting existing ones to speed up engagements and augment training dataPackage and deliver production-grade datasets with standardized formatting, thorough documentation, and quality assuranceBuild custom applications and tooling for non-standard or specialized customer requirementsProduction and Technical PartnershipDefine production specifications and workflows, and secure technical alignment with customer teams for smooth go-live transitionsAct as the technical point of contact for delivery leads, answering complex questions, resolving blockers, and supporting customer discussionsKeep specifications consistent across customer and internal teams throughout each engagementDocument best practices and spot automation opportunities, working with engineering to keep improving deliveryTechnical Leadership and InnovationRun model benchmarking on existing datasets and maintain solution leaderboards that show technical capabilityKeep improving evaluation frameworks, technical assets and delivery processes to raise speed, quality and scaleWhat We're Looking For5+ years in data science, data engineering, ML engineering, solutions engineering, forward-deployed engineering or similar technical rolesStrong hands-on experience with Python and SQL data toolingFamiliarity with ML and LLM-based solutions, including applying ML in production and building validation, evaluation or quality measurement workflows for ML/LLM systemsA track record of turning ambiguous requirements into technical specifications, workflows and delivered solutionsExperience integrating systems through APIs and building custom tooling for non-standard needs